lotabout/write-a-c-interpreter

Write a simple interpreter of C. Inspired by c4 and largely based on it.

View on GitHub ↗Jump to charts ↓

Summary Information

Updated 28 minutes ago
Added to GitGenius on September 15th, 2026
Created on December 23rd, 2015
Open Issues & Pull Requests: 11 (+0)
GitHub issues: Enabled
Number of forks: 774
Total Stargazers: 4,402 (+0)
Total Subscribers: 150 (+0)

Repository Insights (GitGenius)

Median issue/PR response: 6.9 days
Mean response time: 6.9 days
90th percentile: 6.9 days
Tracked items: 1

Most active contributors

Sign in to see contributor activity.

Related repositories by overlapping contributors

Charts & Analytics

Fetching additional details & charts...

Issue Activity (beta)

Open issues: 1
New in 7 days: 0
Closed in 7 days: 0
Avg open age: 1,597 days
Stale 30+ days: 1
Stale 90+ days: 1

Recent activity

Opened in 7 days: 0
Closed in 7 days: 0
Comments in 7 days: 0
Events in 7 days: 0

Top labels

No label distribution available yet.

Most active issues this week

No issue events were indexed in the last 7 days.

Detailed Description

Write-a-C-Interpreter is an educational C interpreter that executes C code by interpreting it rather than compiling it to machine code.

The project addresses the challenge of understanding how interpreters work by implementing a working C interpreter from scratch. It takes an approach inspired by c4, building a minimal but functional interpreter capable of executing C programs. Rather than generating native binaries, the interpreter parses and directly executes C source code, making it useful for learning how language execution works at a fundamental level.

This tool is best suited for developers and students interested in learning interpreter design and implementation. It works well as an educational resource for understanding how C code can be executed without traditional compilation, and as a reference implementation for those studying language design. The project is not intended as a replacement for standard C compilers like GCC or Clang, which are optimized for performance and production use. Instead, it serves as a learning vehicle where the implementation itself is the primary value.

The project shows consistent maintenance with regular commits addressing bugs and improvements. Pull requests are actively reviewed and merged, indicating ongoing engagement with contributions. Issues are tracked and responded to, demonstrating that the maintainers remain available to address problems and questions from users. The codebase receives updates that refine the interpreter's capabilities and fix edge cases discovered through use.